SVM是由模式识别中广义肖像算法(generalized portrait algorithm)发展而来的广义线性分类器,通过在SVM的算法框架下修改损失函数和优化问题可以得到其它类型的线性分类器。 模型设计 麻雀搜索算法( sparrow search algorithm,SSA)是一种新颖的群体优化算法,它是受麻雀种群的觅食和反捕食行为启发,通过19 个标准测试函数验证SSA...
This paper investigates the application of a relatively new machine learning technique, Support Vector Machines (SVMs) together with a preprocessing algorithm based on Singular Spectrum Analysis (SSA) in the Singapore rainfall prediction. Whereas SSA decomposes original time series into a set of hig...
1 简介针对支持向量机(support vector machine,SVM)的分类性能受自身参数选择影响较大的问题,提出了基于麻雀搜索算法(sparrow search algorithm,SSA)优化SVM的故障诊断方法.利用麻雀搜索算法(SSA)对支持向量机的惩罚参数(C)与核参数(g)进行优化,并构建SSA-SVM股票预测模型.结果表明:SSA-SVM诊断模型的测试正确率为96.67...
[0005]基于完备总体经验模态分解(Complementary Ensemble Empirical Mode Decomposition,CEEMD)改进麻雀算法(Sparrow Search Algorithm,SSA)优化最小二乘支持向量机(Least Squares Support Vector Machine,LSSVM)的预测方法,在一定程度上提高了预测精度和收敛速度,通过引入混沌序列和交换学习策略的麻雀算法对核函数参数和惩戒参...
Considering that the influential factors of CO2 emissions are multiplex and the relationships between factors and CO2 emissions are complex and non-linear, a novel CO2 forecasting model called SSA-LSSVM, which utilizes the Salp Swarm Algorithm (SSA) to optimize the two parameters of the least ...
【摘要】为充分利用滚动轴承的故障特征信息,提高故障诊断的准确性和可靠性,文中提出了一种基于全矢自适应噪声完全集成经验模态分解(Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN)能量矩和自适应多种群混合麻雀搜索算法(Adaptive Multi-population Hybrid Sparrow Search Algorithm,AMHSSA)优...
往复压缩机气阀故障振动信号具有较强的非线性和非平稳性.为了从往复压缩机气阀振动信号中提取故障特征用于故障诊断,提出一种基于变分模态分解(variational mode decomposition,VMD)与多尺度熵(multi-scale entrope,MSE)的故障特征提取方法,并与采用麻雀寻优算法(soarrow search algorithm,SSA)优化的支持向量机(suppot ...
In this algorithm, the original data of lubricating oil were denoised and normalized firstly, then the sparrow search algorithm was adopted to optimize the kernel parameters and penalty parameters of SVM, and finally the optimized parameters were used to establish the evaluation...
支持向量机参数优化针对目前非侵入式负荷监测方法对负荷特征相近的电器识别准确率不高的问题,本文提出了一种基于麻雀搜索算法(sparrow search algorithm, SSA)优化支持向量机(support vector machine, SVM)的负荷识别方法.该方法除了采用传统的有功和无功作为特征外,还采用了基波功率因数和频域电流谐波幅值作为新特征,...
A sparrow search algorithm optimized support vector machine(SSA-SVM) based aviation arc fault detection method was proposed to address the issues of high concealment and difficulty in detecting arc fault in aviation line systems. Firstly, wavelet decomposition was used to decompose the arc fault...